Master's degree in fields such as outcomes research, epidemiology, biostatistics, data science, predictive analytics or doctoral degree (PhD, DrPH, ScD).
At least 5 years of experience programming with R or Python in the Data Science field in a professional capacity.
Pharmaceutical industry experience preferred.
Experience working with U.S. longitudinal RWD assets. (e.g., claims, electronic health records, and/or surveys).
Must have sufficient experience working with Optum Market Clarity data.
Proficiency with statistical methods (e.g., causal inference, survival analysis, general linear models, etc.); machine learning experience welcome, though not essential.
Highly skilled in using statistical software (e.g., R, SAS, Python, and/or Stata), database query (SQL) preferred.
Peer-reviewed publication track record is a plus.
Collaborative approach to problem-solving and ability to plan and multi-task.
Excellent written and oral communication skills.
Proven results producing visualizations for analytical understanding and communication purposes.
Experience communicating advanced analysis and models to non-technical audiences.
Clear passion for using data to generate insights and enable data-driven decision making.
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